A Space Target Recognition Method Based on Compressive Sensing

2011 ◽  
Author(s):  
Yuemei Ren ◽  
Yangning Zhang ◽  
Ying Li ◽  
Jianyu Huang ◽  
Jianjiang Hui
Keyword(s):  
Compressive Sensing ◽  
Target Recognition ◽  
Recognition Method ◽  
Space Target

scholarly journals Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Lixun Han ◽  
Cunqian Feng
Keyword(s):  
Short Term Memory ◽  
Target Identification ◽  
Target Recognition ◽  
Parallel Structure ◽  
Recognition Method ◽  
One Dimensional ◽  
Time Frequency ◽  
Physical Attributes ◽  
Frequency Modulations ◽  
Space Target

Space target identification is key to missile defense. Micromotion, as an inherent attribute of the target, can be used as the theoretical basis for target recognition. Meanwhile, time-varying micro-Doppler (m-D) frequency shifts induce frequency modulations on the target echo, which can be referred to as the m-D effect. m-D features are widely used in space target recognition as it can reflect the physical attributes of the space targets. However, the traditional recognition method requires human participation, which often leads to misjudgment. In this paper, an intelligent recognition method for space target micromotion is proposed. First, accurate and suitable models of warhead and decoy are derived, and then the m-D formulae are offered. Moreover, we present a deep-learning (DL) model composed of a one-dimensional parallel structure and long short-term memory (LSTM). Then, we utilize this DL model to recognize time-frequency distribution (TFD) of different targets. Finally, simulations are performed to validate the effectiveness of the proposed method.

The Cat's Eye Effect Target Recognition Method Based on Visual Attention

2019 ◽  
Vol 28 (5) ◽  
pp. 1080-1086 ◽  
Author(s):  
Xingbin Wang ◽  
Jun Zhang ◽  
Shuaihui Wang
Keyword(s):  
Visual Attention ◽  
Target Recognition ◽  
Recognition Method

scholarly journals A Deformation Robust ISAR Image Satellite Target Recognition Method Based on PT-CCNN

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 23432-23453
Author(s):  
Wang Lu ◽  
Yasheng Zhang ◽  
Canbin Yin ◽  
Caiyong Lin ◽  
Can Xu ◽  
...  
Keyword(s):  
Target Recognition ◽  
Recognition Method ◽  
Image Satellite

scholarly journals A Multiview SAR Target Recognition Method Using Inner Correlation Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Lei Lei ◽  
Dongen Guo ◽  
Zhihui Feng
Keyword(s):  
Correlation Analysis ◽  
Target Recognition ◽  
Image Correlation ◽  
Multiple Views ◽  
Recognition Method ◽  
Sar Images ◽  
Weighting Method ◽  
Multiview Images ◽  
Correlation Information ◽  
Sar Target Recognition

This paper proposes a synthetic aperture radar (SAR) image target recognition method using multiple views and inner correlation analysis. Due to the azimuth sensitivity of SAR images, the inner correlation between multiview images participating in recognition is not stable enough. To this end, the proposed method first clusters multiview SAR images based on image correlation and nonlinear correlation information entropy (NCIE) in order to obtain multiple view sets with strong internal correlations. For each view set, the multitask sparse representation is used to reconstruct the SAR images in it to obtain high-precision reconstructions. Finally, the linear weighting method is used to fuse the reconstruction errors from different view sets and the target category is determined according to the fusion error. In the experiment, the tests are conducted based on the MSTAR dataset, and the results validate the effectiveness of the proposed method.

Sign in / Sign up

Export Citation Format

Share Document